Respiratory Sleep Research Articles

Associations between ethnicity and persistent physical and mental health symptoms experienced as part of ongoing symptomatic COVID-19.

Ethnicity can influence susceptibility to SARS-CoV-2 infection, hospitalisation and death. Its association with ongoing symptomatic COVID-19 is unclear. We assessed if, among a population followed up after discharge from hospital with COVID-19, adults from Asian, black, mixed and other backgrounds are at increased risk of physical and mental health symptoms. Adults discharged after hospitalisation with COVID-19 between 03/03/2020 and 27/11/2021 were routinely offered follow-up six to 12 weeks post-discharge and reviewed for ongoing symptomatic COVID-19, as defined by persisting physical symptoms (respiratory symptoms, fatigue, impaired sleep and number of other symptoms), mental health symptoms and inability to return to work if employed. Descriptive statistics and multiple regression analyses were used to compare differences in characteristics, follow-up outcomes and blood tests between ethnic groups. To account for possible selection bias, analyses were adjusted for propensity scores. 986 adults completed follow-up: 202 (20.5%) Asian, 105 (10.6%) black, 18 (1.8%) mixed, 468 (47.5%) white and 111 (11.3%) from other backgrounds. Differences between groups included white adults being older than those from Asian/'other' backgrounds and black adults being more likely from deprived areas than those from Asian/white/'other' backgrounds. After adjusting for these differences, at follow-up, black adults had fewer respiratory (adjusted odds ratio 0.49 (0.25-0.96)) and other symptoms (adjusted count ratio 0.68 (0.34-0.99)) compared to white adults. There were otherwise no significant differences between ethnic groups in terms of physical health, mental health or ability to return to work if employed. These findings were not altered after adjustment for propensity scores. In our population, despite having more co-morbidities associated with worse outcomes, adults from Asian, black, mixed and other ethnic backgrounds are not more likely to develop ongoing symptomatic COVID-19. However, it is important that healthcare services remain vigilant in ensuring the provision of timely patient-centred care.

Risk factors of obstructive sleep apnea syndrome in the developmental age

Background: Obstructive Sleep Apnea Syndrome (OSAS) is a prevalent respiratory sleep disorder in children, associated with severe health consequences, including hypertension, cardiac dysfunction, and neurocognitive impairment. Despite extensive research on OSAS in adults, the risk factors for pediatric OSAS remain underexplored. Objective: This literature review aims to identify and present the key risk factors associated with pediatric OSAS based on contemporary studies. Methods: A systematic search of the PubMed and Scopus databases was conducted for literature published between 2016 and 2024. Search terms included “obstructive sleep apnea,” “children,” and “risk factors.” A total of 93 relevant studies were reviewed after excluding non-pediatric and irrelevant papers from an initial pool of 283. Results: The most commonly identified risk factors for pediatric OSAS include adenoid and tonsillar hypertrophy, obesity, craniofacial abnormalities, and asthma. Additional risk factors such as allergic rhinitis, recurrent upper respiratory infections, nasal stenosis, congenital diseases, low vitamin D levels, and preterm birth were also noted. Conclusion: Pediatric OSAS is influenced by multiple factors, including anatomical, physiological, and genetic components. Further research is required to explore emerging risk factors, such as role of vitamin D deficiency and microbiota, and to clarify the impact of variables like ethnicity and breastfeeding.

Identification biomarkers in disease progression of obstructive sleep apnea from children serum based on WGCNA and Mfuzz.

Obstructive sleep apnea (OSA) syndrome is a prevalent form of respiratory sleep disorder, with an increasing prevalence among children. The consequences of OSA include obesity, diabetes, cardiovascular disease, and neuropsychological diseases. Despite its pervasive impact, a significant proportion of individuals especially children remain unaware that they suffer from OSA. Consequently, there is an urgent need for an accessible diagnostic approach. In this study, we conducted a bioinformatic analysis to identify potential biomarkers from a proteomics dataset comprising serum samples from children with OSA in the progression stage. In the Gene Set Enrichment Analysis (GSEA), we observed that the complement and immune response pathways persisted throughout the development of OSA and could be detected in the early stages. Subsequent to soft clustering and WGCNA analysis, it was revealed that the Hippo pathway, including ITGAL and FERMT3, plays a role in mild OSA. The analysis revealed a significant alteration of the complement and coagulation pathways, including TFPI and MLB2, in moderate OSA. In severe OSA, there was an association between hypoxia and the extracellular matrix (ECM) receptor interaction and collagen binding. In summary, it can be posited that the systemic inflammation may persist throughout the progression of OSA. Furthermore, severe OSA is characterized by abnormal vascular endothelial function, which may be attributed to chronic hypoxia. Finally, four potential biomarkers (ITGAL, TFPI, TTR, ANTXR1) were identified based on LASSO regression, and a prediction model for OSA progression was constructed based on the biomarkers.

A Pilot Study of an Endoluminal-Suturing Device as a Treatment Strategy for Patients With Obesity and Obstructive Sleep Apnea

Background and Objective Obstructive sleep apnea (OSA) is a multifactorial disease, and obesity is the most prevalent risk factor for OSA. Endoscopic sleeve gastroplasty (ESG) is a minimally-invasive procedure used for treating obesity. This prospective study tested the potential benefit of weight loss via an ESG device, endomina<sup>®</sup>, for reduction of apnea-hypopnea index (AHI) in patients with class I obesity and severe OSA.Methods Ten patients with BMI values of 28 to 34.9 kg/m<sup>2</sup> and severe OSA underwent ESG and lifestyle management for 6 months. Patients underwent polysomnography before and 6 months after the endoscopic procedure. The primary endpoint was the percentage of AHI reduction six months after the endoscopic procedure. Secondary endpoints were the proportion of patients with AHI reductions of 50% six months after ESG, improvements in respiratory parameters and sleepiness, effectiveness on weight loss, and correlations with decreased AHI.Results Patients experienced 54% (±11%) reductions in AHI. Seven patients had an AHI reduction of ≥50%, and five had an AHI of <15 events/h. Total body weight loss (TBWL) and excess weight loss (EWL) were 10.1% (±3.4%) and 45.4% (±14.0%), respectively, and there was no correlation between AHI and TBWL/EWL. There was an overall improvement in respiratory sleep parameters after ESG, except for snoring, and a reduction in daytime sleepiness.Conclusions These results suggest that using an ESG device, endomina<sup>®</sup>, with lifestyle modification for promoting weight loss in class I obese patients with severe OSA is a promising treatment strategy for reducing OSA and improving respiratory parameters and daytime sleepiness.

Expiratory muscle strength training reduces oxidative stress and systemic inflammation in men with obstructive sleep apnea syndrome: a double-blinded, randomized parallel trial

Abstract Study Objectives This study aimed to evaluate and compare the effects of high and low-intensity expiratory muscle strength training (EMST) on disease severity, systemic inflammation, oxidative stress, respiratory muscle strength, exercise capacity, symptoms, daytime sleepiness, fatigue severity, and sleep quality in male patients with obstructive sleep apnea syndrome (OSAS). Methods Thirty-one male patients diagnosed with moderate OSAS were included in this double-blind, randomized, parallel study. Patients were randomized into two groups: High-EMST and Low-EMST groups. EMST was used at home 7 days/week, once a day, for 25 breaths, 12 weeks. Respiratory muscle strength was measured using a mouth pressure device. Disease severity (Apnea–Hypopnea Index [AHI]) and, respiratory sleep events by polysomnography, total oxidant level(TOS), total antioxidant level(TAS), oxidative stress index (OSI), C-reactive protein (CRP), tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), and interleukin-10 (IL-10) levels by blood serum were evaluated. Results The percentage of AHI change in the high-EMST group(50.8%) was significantly higher than in the low-EMST group(6.3%; p = .002, d = 1.31). In general, as MEP increased by one unit, AHI decreased by 0.149 points (b = −0.149; CR = −3.065; p = .002), and as AHI increased by one unit, ODI increased by 0.746 points (b = 0.746; CR = 10.604; p < .001). TOS, OSI, TNF-α and IL-6 levels decreased at similar rates in both groups. Conclusions EMST significantly reduces systemic inflammation and oxidative stress while improving expiratory muscle strength in male patients with moderate OSAS. High-EMST is more effective in enhancing the severity of disease than low-EMST. EMST is a practical, effective, and promising treatment for pulmonary rehabilitation in patients with moderate OSAS. Clinical Trials Effect of EMST systemic inflammation and oxidative stress in patients with moderate OSAS, https://clinicaltrials.gov/study/NCT05242406, with the number NCT05242406.

PPG2RespNet: a deep learning model for respirational signal synthesis and monitoring from photoplethysmography (PPG) signal.

Breathing conditions affect a wide range of people, including those with respiratory issues like asthma and sleep apnea. Smartwatches with photoplethysmogram (PPG) sensors can monitor breathing. However, current methods have limitations due to manual parameter tuning and pre-defined features. To address this challenge, we propose the PPG2RespNet deep-learning framework. It draws inspiration from the UNet and UNet + + models. It uses three publicly available PPG datasets (VORTAL, BIDMC, Capnobase) to autonomously and efficiently extract respiratory signals. The datasets contain PPG data from different groups, such as intensive care unit patients, pediatric patients, and healthy subjects. Unlike conventional U-Net architectures, PPG2RespNet introduces layered skip connections, establishing hierarchical and dense connections for robust signal extraction. The bottleneck layer of the model is also modified to enhance the extraction of latent features. To evaluate PPG2RespNet's performance, we assessed its ability to reconstruct respiratory signals and estimate respiration rates. The model outperformed other models in signal-to-signal synthesis, achieving exceptional Pearson correlation coefficients (PCCs) with ground truth respiratory signals: 0.94 for BIDMC, 0.95 for VORTAL, and 0.96 for Capnobase. With mean absolute errors (MAE) of 0.69, 0.58, and 0.11 for the respective datasets, the model exhibited remarkable precision in estimating respiration rates. We used regression and Bland-Altman plots to analyze the predictions of the model in comparison to the ground truth. PPG2RespNet can thus obtain high-quality respiratory signals non-invasively, making it a valuable tool for calculating respiration rates.

Application study of apnea-hypopnea duration for assessing adult obstructive sleep apnea.

Obstructive sleep apnea (OSA) is a common sleep disordered breathing disorder, which can cause serious damage to multiple human systems. Although polysomnography (PSG) is the current gold standard for diagnosis, it is complex and expensive. Therefore, it is of great significance to find a simple, economical and rapid primary screening and diagnosis method to replace PSG for the diagnosis of OSA. The purpose of this study is to propose a new method for the diagnosis and classification of OSA, which is used to automatically detect the duration of sleep apnea hypopnea events (AHE), so as to estimate the ratio(S) of the total duration of all-night AHE to the total sleep time only based on the sound signal of sleep respiration, and to identify OSA. We performed PSG tests on participants and extracted relevant sleep breathing sound signal data. This study is carried out in two stages. In the first stage, the relevant PSG report data of eligible subjects were recorded, the total duration of AHE in each subject's data was extracted, and the S value was calculated to evaluate the severity of OSA. In the second stage, only the sleep breath sound signal data of the same batch of subjects were used for automatic detection, and the S value in the sleep breath sound signal was extracted, and the S value was compared with the PSG diagnosis results to calculate the accuracy of the experimental method. Among 225 subjects. Using PSG as the reference standard, the S value extracted from the PSG diagnostic data report can accurately diagnose OSA(accuracy rate 99.56%) and distinguish its severity (accuracy rate 95.11%). The accuracy of the S value detected in the sleep breathing sound signal in the diagnosis of severe OSA reached 100%. The results show that the experimental parameter S value is feasible in OSA diagnosis and classification. OSA can be identified and evaluated only by sleep breathing sounds. This method helps to simplify the diagnostic grading of traditional OSA and lays a foundation for the subsequent development of simple diagnostic grading equipment.

Respiratory issues and current management in neuromuscular diseases: a narrative review.

Respiratory care is often embedded as a component of the overlapping management strategies in many patients with neuromuscular disease (NMD). Implementation of respiratory care strategies requires a sensitivity to the nature of the disease, the vulnerability during rapid eye movement (REM) sleep and complicating comorbidities specific to each patient. Care must adjust to progression of the disease as well as the comfort and preferences of the patient. Clinical presentations are usually heterogenous based on the specific NMD and overall course of the disease making diagnosis and respiratory care challenging. The aim of this review was to review the state-of-the-art evidence-based clinical practices and updates in the management of respiratory complications in patients with NMDs. We conducted a search on the PubMed and Medline databases using these keywords: secretions, neuromuscular disease, neuromuscular disorders, non-invasive ventilator, neuromuscular respiratory weakness, respiratory failure. The specified timeframe began from 1980 to 2024. Timely use of non-invasive ventilation and overall respiratory care is most important as emerging evidence shows some benefits with improved mortality in this group of patients. In some settings, comorbid complications that dictate need for airway management and oral diversion may have a more profound impact on mortality than the effectiveness of ventilatory support that are chosen. A multidisciplinary team approach to care has been shown to improve the quality of life and survival in these patients in centers of excellence. Patients should have the ability to access services provided by neurology, pulmonology, speech pathology, sleep medicine, cardiology and respiratory therapy services. The cornerstone for management of respiratory failure and sleep disordered breathing in NMD is non-invasive ventilation (NIV). Initiation of this support and other respiratory cares need to be timely, and patients may have very subtle symptoms during the early stages of the disease which makes it challenging in recognizing the onset of respiratory muscle stress and fatigue. Close attention to these symptoms as well as respiratory and radiologic parameters is essential for appropriate incorporation of these cares.

Virtual reality improves sleep quality and associated symptoms in patients with chronic insomnia

PurposeThe present study aimed to explore the effectiveness of virtual reality (VR) therapy on sleep quality and associated symptoms, such as depression and anxiety, cognitive decline and autonomic nervous dysfunction, in chronic insomnia patients. MethodsSixty-three chronic insomnia patients were randomly divided into VR group (n = 32) and control group (n = 20) based on a standard drug therapy. Patients were instructed to use VR at home once a day at evening for 6-week treatment. All participants received evaluations of subjective sleep quality measured with the Pittsburgh Sleep Quality Index (PSQI), the Insomnia Severity Index (ISI), and the Epworth Sleepiness Scale (ESS), depression and anxiety symptoms measured with the Hamilton Depression Scale (HAMD) and Hamilton Anxiety Scale (HAMA), cognitive function, and objective sleep structure and autonomic nerve function examination measured with the sleep respiration monitoring device at baseline and after 6-week treatment. The main objective of this study was sleep quality assessment as the primary outcome. ResultsAfter 6-week treatment, the decreases in PSQI score (−5.60 ± 2.37 vs −4.10 ± 1.80, P = 0.020) and ISI score (−8.81 ± 4.52 vs −6.35 ± 2.89, P = 0.038) of the VR group were significantly greater compared with the control group. The VR group showed more reduction in HAMD score (−9.96 ± 4.41 vs −7.50 ± 2.89, P = 0.035) and HAMA score (−8.96 ± 3.80 vs −6.80 ± 3.22, P = 0.046), and more increase in processing speed (0.54 ± 0.60 vs 0.00 ± 0.79, P = 0.011) than the control group. Moreover, the low-frequency coupling (−10.00 ± 17.40 vs. 8.25 ± 20.03, P = 0.001) was lowered and the high-frequency coupling (9.99 ± 17.40 vs. −8.24 ± 20.03, P = 0.001) was elevated in the VR group relative to the control group. ConclusionOur findings offered preliminary evidence that VR therapy enhanced sleep quality and also lessened depressive and anxious symptoms, and improved cognitive and autonomic functioning in patients with chronic insomnia.

Leveraging Attention-reinforced UWB Signals to Monitor Respiration during Sleep

The respiration state during overnight sleep is an important indicator of human health. However, existing contactless solutions for sleep respiration monitoring either perform in controlled environments and have low usability in practical scenarios or only provide coarse-grained respiration rates, being unable to accurately detect abnormal events in patients. In this article, we propose Respnea, a non-intrusive sleep respiration monitoring system using an ultra-wideband device. Particularly, we propose a profiling algorithm, which can locate the sleep positions in non-controlled environments and identify different subject states. Further, we construct a deep learning model that adopts a multi-head self-attention mechanism and learns the patterns implicit in the respiration signals to distinguish sleep respiration events at a granularity of seconds. To improve the generalization of the model, we propose a contrastive learning strategy to learn a robust representation of the respiration signals. We deploy our system in hospital and home scenarios and conduct experiments on data from healthy subjects and patients with sleep disorders. The experimental results show that Respnea achieves high temporal coverage and low errors (a median error of 0.27 bpm) in respiration rate estimation and reaches an accuracy of 94.44% on diagnosing the severity of sleep apnea-hypopnea syndrome.

Design and Analysis of a Contact Piezo Microphone for Recording Tracheal Breathing Sounds.

Analysis of tracheal breathing sounds (TBS) is a significant area of study in medical diagnostics and monitoring for respiratory diseases and obstructive sleep apnea (OSA). Recorded at the suprasternal notch, TBS can provide detailed insights into the respiratory system's functioning and health. This method has been particularly useful for non-invasive assessments and is used in various clinical settings, such as OSA, asthma, respiratory infectious diseases, lung function, and detection during either wakefulness or sleep. One of the challenges and limitations of TBS recording is the background noise, including speech sound, movement, and even non-tracheal breathing sounds propagating in the air. The breathing sounds captured from the nose or mouth can interfere with the tracheal breathing sounds, making it difficult to isolate the sounds necessary for accurate diagnostics. In this study, two surface microphones are proposed to accurately record TBS acquired solely from the trachea. The frequency response of each microphone is compared with a reference microphone. Additionally, this study evaluates the tracheal and lung breathing sounds of six participants recorded using the proposed microphones versus a commercial omnidirectional microphone, both in environments with and without background white noise. The proposed microphones demonstrated reduced susceptibility to background noise particularly in the frequency ranges (1800-2199) Hz and (2200-2599) Hz with maximum deviation of 2 dB and 2.1 dB, respectively, compared to 9 dB observed in the commercial microphone. The findings of this study have potential implications for improving the accuracy and reliability of respiratory diagnostics in clinical practice.

Comparative characteristics of patients with a combination of obstructive sleep apnea and paroxysmal atrial fibrillation in the groups of interventional and conservative treatment of arrhythmia

Aim. To compare the clinical characteristics of two groups of patients with a combination of obstructive sleep apnea (OSA) and paroxysmal atrial fibrillation (AF), undergoing conservative treatment for arrhythmia and after pulmonary vein isolation.Material and methods. The study included 362 patients with paroxysmal AF who underwent respiratory sleep monitoring.Results. A predominance of clinically significant OSA was revealed (moderate and severe — 37% and 29%, respectively), as well as a higher drug burden and comorbidity in the group of patients receiving drug treatment for AF. The threshold value of body mass index (BMI), at which a high risk of severe OSA was predicted, corresponded to class 1 obesity (BMI ≥31 kg/m2). The results obtained demonstrated an association between an increase in the left atrium anteroposterior size and the severity of OSA (4,1 [3,8-4,4] cm, r=0,28; p<0,001), which may be due to cardiac structural remodeling in patients with a combination of paroxysmal AF and severe OSA.Conclusion. In a cohort of patients with paroxysmal AF, a high incidence of clinically significant OSA was revealed. In the group of patients with a combination of OSA and AF undergoing conservative treatment, more unfavorable cardiovascular characteristics and a more severe comorbid status were revealed compared to the group of patients undergoing surgical treatment.

Impact of Continuous Positive Airway Pressure Termination on Permanent Work Disability in Obstructive Sleep Apnea: A French Nationwide ALASKA Database Analysis.

Rationale: Three-year continuous positive airway pressure (CPAP) therapy termination rates are up to 50%, and therapy termination is associated with higher all-cause mortality and incident cardiovascular event risk. Objectives: This study investigated the impact of CPAP therapy termination in the first year on long sick leave leading to permanent work disability in patients with obstructive sleep apnea based on data from the Nationwide Claims Data Lake for Sleep Apnoea (ALASKA). Methods: French national health insurance reimbursement system data were analyzed for all adults with OSA aged ≤62 years who started CPAP therapy in France in 2015 and 2016. CPAP therapy termination was defined as the cessation of CPAP reimbursements triggered by the respiratory physician or sleep specialist in charge of follow-up. Individuals who terminated therapy were compared with those who continued to use CPAP. The primary outcome was sick leave ultimately leading to permanent work disability. A multivariable Fine and Gray model, adjusted for age, sex, cardiovascular and metabolic comorbidities, depression, and CPAP prescriber clinical specialty was used to assess the risk of long-term sick leave leading to permanent work disability over 3 years' follow-up. Results: The analysis included 174,270 individuals (median age, 52.0 yr [interquartile range, 44.0-57.0 yr]; 67.5% male). The 1-year CPAP therapy termination rate was 22.3%. The proportion of individuals with long-term sick leave leading to permanent work disability was significantly higher in the CPAP termination versus continuation group (0.60% vs. 0.52%; P = 0.042). In an adjusted multivariable Cox model, CPAP termination was associated with an increased risk of permanent work disability (hazard ratio, 1.21; 95% confidence interval [CI], 1.04-1.41; P = 0.01), primarily in the subgroup aged >55 years (hazard ratio, 1.41; 95% CI, 1.06-1.87; P = 0.02). Conclusions: These real-world data from a comprehensive, unbiased database highlight the potential occupational impact of CPAP therapy termination.

Quality measure for screening for adult obstructive sleep apnea by primary care providers: 2024 update after measure maintenance.

Obstructive sleep apnea (OSA) is a prevalent respiratory sleep disorder that, when left undiagnosed or untreated, can lead to adverse outcomes. There continue to be gaps and variations in screening adults who are high risk for OSA in the primary care setting, leading to many adults in the United States going undiagnosed. As a part of the ongoing AASM quality measure maintenance initiative, the AASM Quality Measures Task Force reviewed the original screening for adult obstructive sleep apnea by primary care physicians quality measure. The measure was updated to further address the adult populations who are at high risk for OSA to ensure that the measure is consistent with the most current medical literature, increasing the likelihood that patients at high risk for OSA are properly screened for the sleep disorder.

Effect of Prenatal Yoga On Back Pain and Sleep Quality in Pregnant Women: A Scoping Review

Throughout pregnancy, the expectant mother experiences physiological and psychological alterations. These modifications can significantly affect the mother's many pregnancy complications, including respiratory difficulties, lumbar discomfort, haemorrhoids, and sleep disruptions. Background: Lower back pain (LBP) is a musculoskeletal ailment that can negatively impact the overall well-being of pregnant women. Failure to promptly address the complaint might have detrimental effects on both the mother and the fetus. Objective: This scoping review seeks to examine the effects of prenatal yoga on the occurrence of back pain and the quality of sleep in pregnant women. Methods: This article conducted a scoping review using the PRISMA approach. Articles published in the last five years (2019-2023) were identified through various sources, including Google Scholar, PubMed, Journal SAGE, Scopus, Science Direct, and EBSCO. This search yielded ten relevant journals. Findings: Our examination revealed that engaging in prenatal yoga during pregnancy can help pregnant women reduce back pain and improve the quality of their sleep. Conclusion: prenatal yoga is a non-pharmacological therapeutic option for pregnant women to alleviate back discomfort and enhance sleep quality.

Review of respiratory sleep disorders in children with genetic and metabolic diseases

Sleep is an important physiological process for the optimal functioning of the human body. Respiratory sleep disorders in children can be found in any age group with a prevalence of 2-5%. Genetic and metabolic syndromes in children associate a higher prevalence of sleep pathology. Polysomnography represents the gold standard investigation for evaluation and monitoring of breathing disorders associated with sleep. Early detection of sleep pathology in children and periodic monitoring plays an important role in improving quality of life of these patients.

Sleep Apnea and Atrial Fibrillation: Clinical Features and Screening Diagnostic Options.

Obstructive sleep apnea (OSA) is associated with an increased risk of hypertension, coronary artery disease, heart failure (HF), and atrial fibrillation (AF). A total of 179 patients aged 34-81 years were included in the study. The median age was 63 years (interquartile range: 56-69 years). Of these patients, 105 (58.7%) were men, and 74 (41.3%) were women; there were cases of paroxysmal (n = 99), persistent (n = 64), and permanent AF (n = 16). All patients underwent investigations including respiratory sleep monitoring, echocardiography, and 24 h Holter electrocardiography monitoring. Statistical analyses were performed using IBM SPSS Statistics 26.0. OSA was detected in 131 (73.2%) patients. In patients with OSA, paroxysmal AF was commonest (n = 65), followed by persistent AF (n = 51) and permanent AF (n = 15). The patients with sleep apnea had increased body mass index (33.6 kg/m2; p = 0.02), waist circumference (114 cm; p < 0.001), and neck circumference (42 cm; p < 0.001) values. HF (OR 2.9; 95% CI: 1.4-5.9; p = 0.004) and type 2 diabetes (OR 3.6; 95% CI: 1.5-8.3; p = 0.001) were more common in patients with AF and OSA. The STOP-BANG scale (AUC = 0.706 ± 0.044; 95% CI: 0.619-0.792; p < 0.001) and the Berlin questionnaire (AUC = 0.699 ± 0.044; 95% CI: 0.614-0.785) had a higher predictive ability for identifying sleep apnea. Patients with AF demonstrate a high prevalence of OSA and an increased association with cardiovascular comorbidities. The STOP-BANG scale and the Berlin questionnaire can be used to screen for OSA in patients with AF.

Sleep and sleep-related breathing disorders in patients with spinal muscular atrophy: a changing perspective from novel treatments?

Spinal Muscular Atrophy (SMA) is an inherited neuromuscular disorder characterized by progressive muscle weakness and atrophy, resulting from the degeneration of motor neurons in the spinal cord. A critical aspect of SMA is its impact on respiratory function. As the disease progresses, respiratory muscles, in particular intercostal muscles, become increasingly affected, leading to breathing difficulties and respiratory failure. Without intervention, many children with SMA type 1 die from respiratory failure before their second year of life. While assisted ventilation has improved survival, it often results in ventilator dependence. The development of new SMN-augmenting therapies has renewed optimism, but their long-term impact on respiratory function is uncertain, and non-invasive respiratory support remains an important part of SMA management. Despite the importance of respiratory support in SMA, knowledge regarding sleep disorders in this population is limited. This review aims to synthesize existing literature on sleep and sleep-related breathing disorders in patients with SMA, with a focus on SMA type 1. We summarize evidence of sleep-disordered breathing and respiratory failure in SMA, as well as outcomes and survival benefits associated with non-invasive or invasive ventilation with or without pharmacological therapies. We also discuss current knowledge regarding the effects of novel disease-modifying therapies for SMA on respiratory function and sleep. In conclusion, optimal care for children with SMA requires a multidisciplinary approach that includes neurology and respiratory specialists. This review highlights the importance of monitoring sleep and respiratory function in SMA, as well as the potential benefits and challenges associated with assisted ventilation combined with new therapies.

Prevalence and Characteristics of Sleep Disorders in Children Aged 7-17: Insights from Parental Observations at the Dental Office.

Sleep disorders (SD) in children is a topic of great relevance due to their impact on a child's general health. This has led us to study their prevalence and the factors that disturb them in the developing population. Using a validated Likert-type questionnaire, different behaviors observed by the parents during the different phases of their children's sleep were evaluated during the last 6 months. A total of 206 children between the ages of 7 and 17 who attended a dental office participated in the study. The prevalence of SD was 47.6%. There were no significant differences regarding the SD in relation to sex (p = 0.796). The mean total score for children aged 7 to 11 years old was 42.3 (±14.25) compared to 45.44 (±15.51) for the group consisting of children aged 12 to 17 years old, reporting a statistically significant difference among both age groups (p = 0.01). The most frequent disorder was related to initiating and maintaining sleep (64.9%) while the least prevalent were the respiratory sleep disorders (27.2%). Given the high prevalence of these disorders, it is necessary to intercept them during childhood and establish educational guidelines in this regard throughout primary care.

Exploring the Complex Interplay of Obesity, Allergic Diseases, and Sleep-Disordered Breathing in Children.

This narrative review study investigates the correlations between obesity, allergies, and sleep-disordered breathing in pediatric populations. Searches for pertinent articles were conducted on the Medline PubMed Advanced Search Builder, Scopus, and Web of Science databases from unlimited to April 2024. Sleep-disordered breathing causes repeated upper airway obstructions, leading to apneas and restless sleep. Childhood obesity, which affects around 20% of children, is often associated with sleep-disordered breathing and allergies such as asthma and allergic rhinitis. It is distinguished between diet-induced obesity (resulting from excess of diet and physical inactivity) and genetic obesity (such as is seen in Down syndrome and Prader-Willi syndrome). In children with diet-induced obesity, chronic inflammation linked to weight can worsen allergies and increase the risk and severity of asthma and rhinitis. Furthermore, the nasal congestion typical of rhinitis can contribute to upper respiratory tract obstruction and obstructive sleep apnea. A vicious circle is created between asthma and sleep-disordered breathing: uncontrolled asthma and sleep-disordered breathing can worsen each other. In children with genetic obesity, despite alterations in the immune system, fewer allergies are observed compared to the broader population. The causes of this reduced allergenicity are unclear but probably involve genetic, immunological, and environmental factors. Additional research is necessary to elucidate the underlying mechanisms. The present narrative review study emphasizes the importance of jointly evaluating and managing allergies, obesity, and obstructive sleep apnea in children considering their close interconnection.